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Among these proteins, the synthetic binding proteins (SBPs) are smaller, more stable, less immunogenic, and better of tissue penetration than others, which make the SBP-related data attracting extensive interest from worldwide scientists. However, no database has been developed to systematically provide the valuable information of SBPs yet. In this study, a database named \u2018Synthetic Binding Proteins for Research, Diagnosis, and Therapy (SYNBIP)\u2019 was thus introduced. This database is unique in (a) comprehensively describing thousands of SBPs from the perspectives of scaffolds, biophysical &amp; functional properties, etc.; (b) panoramically illustrating the binding targets &amp; the broad application of each SBP and (c) enabling a similarity search against the sequences of all SBPs and their binding targets. Since SBP is a human-made protein that has not been found in nature, the discovery of novel SBPs relied heavily on experimental protein engineering and could be greatly facilitated by in-silico studies (such as AI and computational modeling). Thus, the data provided in SYNBIP could lay a solid foundation for the future development of novel SBPs. The SYNBIP is accessible without login requirement at both official (https:\/\/idrblab.org\/synbip\/) and mirror (http:\/\/synbip.idrblab.net\/) sites.<\/jats:p>","DOI":"10.1093\/nar\/gkab926","type":"journal-article","created":{"date-parts":[[2021,10,15]],"date-time":"2021-10-15T23:40:58Z","timestamp":1634341258000},"page":"D560-D570","source":"Crossref","is-referenced-by-count":68,"title":["SYNBIP: synthetic binding proteins for research, diagnosis and therapy"],"prefix":"10.1093","volume":"50","author":[{"given":"Xiaona","family":"Wang","sequence":"first","affiliation":[{"name":"School of Pharmaceutical Sciences, Chongqing University, Chongqing 401331, China"}]},{"given":"Fengcheng","family":"Li","sequence":"additional","affiliation":[{"name":"College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang\u00a0310058, China"}]},{"given":"Wenqi","family":"Qiu","sequence":"additional","affiliation":[{"name":"Department of Surgery, HKU-SZH & Faculty of Medicine, The University of Hong Kong, Hong Kong, China"}]},{"given":"Binbin","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Pharmaceutical Sciences, Chongqing University, Chongqing 401331, China"}]},{"given":"Yanlin","family":"Li","sequence":"additional","affiliation":[{"name":"School of Pharmaceutical Sciences, Chongqing University, Chongqing 401331, China"}]},{"given":"Xichen","family":"Lian","sequence":"additional","affiliation":[{"name":"College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang\u00a0310058, China"}]},{"given":"Hongyan","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Pharmaceutical Sciences, Chongqing University, Chongqing 401331, China"}]},{"given":"Zhao","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Pharmaceutical Sciences, Chongqing University, Chongqing 401331, China"}]},{"given":"Jianxin","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Central South University, Changsha 410083, China"}]},{"given":"Zhaorong","family":"Li","sequence":"additional","affiliation":[{"name":"Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou 330110, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3285-0574","authenticated-orcid":false,"given":"Weiwei","family":"Xue","sequence":"additional","affiliation":[{"name":"School of Pharmaceutical Sciences, Chongqing University, Chongqing 401331, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8069-0053","authenticated-orcid":false,"given":"Feng","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Pharmaceutical Sciences, Chongqing University, Chongqing 401331, China"},{"name":"College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang\u00a0310058, China"},{"name":"Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University, Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou 330110, China"}]}],"member":"286","published-online":{"date-parts":[[2021,10,19]]},"reference":[{"key":"2022010507412994700_B1","doi-asserted-by":"crossref","first-page":"1315","DOI":"10.1038\/s41592-019-0598-1","article-title":"Unified rational protein engineering with sequence-based deep representation learning","volume":"16","author":"Alley","year":"2019","journal-title":"Nat. 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